Junyu Gao

Affiliations:
  • Northwestern Polytechnical University, OPTIMAL, Xi'an, China


According to our database1, Junyu Gao authored at least 54 papers between 2018 and 2024.

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Bibliography

2024
SSIR: Spatial shuffle multi-head self-attention for Single Image Super-Resolution.
Pattern Recognit., April, 2024

An End-to-End Contrastive License Plate Detector.
IEEE Trans. Intell. Transp. Syst., January, 2024

NWPU-MOC: A Benchmark for Fine-Grained Multicategory Object Counting in Aerial Images.
IEEE Trans. Geosci. Remote. Sens., 2024

NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Images.
CoRR, 2024

SamLP: A Customized Segment Anything Model for License Plate Detection.
CoRR, 2024

2023
Domain-Adaptive Crowd Counting via High-Quality Image Translation and Density Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Boosting One-Stage License Plate Detector via Self-Constrained Contrastive Aggregation.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Crowd Localization From Gaussian Mixture Scoped Knowledge and Scoped Teacher.
IEEE Trans. Image Process., 2023

Holistic Mutual Representation Enhancement for Few-Shot Remote Sensing Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

Exploring Hard Samples in Multiview for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

LGNet: Location-Guided Network for Road Extraction From Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2023

NAS-Kernel: Learning Suitable Gaussian Kernel for Remote-Sensing Object Counting.
IEEE Geosci. Remote. Sens. Lett., 2023

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
CoRR, 2023

Imbalanced Aircraft Data Anomaly Detection.
CoRR, 2023

2022
Multitask Attention Network for Lane Detection and Fitting.
IEEE Trans. Neural Networks Learn. Syst., 2022

Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting.
IEEE Trans. Neural Networks Learn. Syst., 2022

Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark.
IEEE Trans. Image Process., 2022

Density-Aware Curriculum Learning for Crowd Counting.
IEEE Trans. Cybern., 2022

Global Multi-Scale Information Fusion for Multi-Class Object Counting in Remote Sensing Images.
Remote. Sens., 2022

Congested crowd instance localization with dilated convolutional swin transformer.
Neurocomputing, 2022

Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects.
CoRR, 2022

MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting.
CoRR, 2022

DR.VIC: Decomposition and Reasoning for Video Individual Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance.
IEEE Trans. Cybern., 2021

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning to detect anomaly events in crowd scenes from synthetic data.
Neurocomputing, 2021

Pixel-Wise Crowd Understanding via Synthetic Data.
Int. J. Comput. Vis., 2021

Audio-visual Representation Learning for Anomaly Events Detection in Crowds.
CoRR, 2021

LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds.
CoRR, 2021

Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification.
CoRR, 2021

Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark.
CoRR, 2021

Multi-Domain Synchronous Refinement Network for Unsupervised Cross-Domain Person Re-Identification.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network.
IEEE Trans. Circuits Syst. Video Technol., 2020

Learning Independent Instance Maps for Crowd Localization.
CoRR, 2020

Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions.
CoRR, 2020

CNN-based Density Estimation and Crowd Counting: A Survey.
CoRR, 2020

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting.
CoRR, 2020

Hyperspectral Image Classification With CapsNet and Markov Random Fields.
IEEE Access, 2020

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pixel-Level Self-Paced Learning For Super-Resolution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Focus on Semantic Consistency for Cross-Domain Crowd Understanding.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Flow Base Bi-path Network for Cross-Scene Video Crowd Understanding in Aerial View.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


Multi-feature Counting of Dense Crowd Image Based on Multi-column Convolutional Neural Network.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes.
IEEE Trans. Image Process., 2019

SCAR: Spatial-/channel-wise attention regression networks for crowd counting.
Neurocomputing, 2019

Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction.
CoRR, 2019

Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance.
CoRR, 2019

C^3 Framework: An Open-source PyTorch Code for Crowd Counting.
CoRR, 2019

Convolutional Regression Network for Multi-Oriented Text Detection.
IEEE Access, 2019

Learning From Synthetic Data for Crowd Counting in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection.
IEEE Trans. Intell. Transp. Syst., 2018

A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling.
IEEE Trans. Intell. Transp. Syst., 2018


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